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    Home » Trend Micro and NVIDIA Collaborate to Secure AI Infrastructure
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    Trend Micro and NVIDIA Collaborate to Secure AI Infrastructure

    techgeekwireBy techgeekwireMay 26, 2025No Comments3 Mins Read
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    Trend Micro and NVIDIA Enhance AI Security Across Full AI Lifecycle

    Organizations worldwide are racing to implement agentic AI solutions to drive innovation and competitive advantage. However, this revolution introduces significant security challenges, particularly for organizations in highly regulated industries that require data sovereignty and strict compliance.

    The Challenge of Securing AI Infrastructure

    As generative AI adoption accelerates, many organizations are building their own private AI infrastructures to maintain control over sensitive data. According to Gartner®, “these concerns are driving tighter privacy and data protection policies, stricter requirements for data sovereignty and data control, and more demand for technological control, along with long-term autonomy and governance.”*

    This shift toward private AI infrastructure creates new security considerations, including:

    • Protecting sensitive training data from breaches
    • Securing complex AI supply chains and containerized architectures
    • Safeguarding AI models against poisoning and exploitation
    • Ensuring infrastructure security across hybrid environments
    • Implementing proper access controls for AI systems

    Enhanced Security through Collaboration

    The collaboration between Trend Micro and NVIDIA addresses these challenges through a comprehensive framework that unites data, services, open architecture, and infrastructure to accelerate AI deployments while ensuring data sovereignty. Key components include:

    1. Comprehensive Security: Trend Vision One™ Sovereign Private Cloud (SPC) offers AI-driven cybersecurity with 100% data jurisdiction and control.
    2. GPU-Accelerated AI Security: NVIDIA Morpheus AI framework and NVIDIA NIM microservices enable real-time, GPU-accelerated risk detection and analysis.
    3. Data Loss Prevention (DLP): Using NVIDIA Morpheus and NVIDIA RAPIDS cuDF to achieve significant throughput improvement and cost reduction.

    Key Benefits for Private AI Infrastructure Deployments

    This integrated solution offers significant advantages for organizations implementing private AI infrastructure:

    • Simplified Deployment: Pre-validated solutions accelerate time-to-value
    • Enhanced Protection: Comprehensive security across the entire AI stack
    • Data Sovereignty: Complete control over sensitive data with Trend Vision One™ SPC
    • Regulatory Compliance: Support for strict compliance requirements
    • Operational Efficiency: Streamlined security operations with automated, AI-driven threat detection

    The solution is particularly valuable for organizations in Government and Critical Infrastructure sectors with strict compliance requirements. As Kevin Simzer, COO at Trend, explains: “Our platform is designed to automate, streamline, and unify security operations… We’re delighted to work with NVIDIA to overcome the challenges that too often get in the way of effective threat protection.”

    By implementing this solution, organizations can confidently accelerate their AI initiatives while ensuring robust security and maintaining compliance, transforming AI from a potential risk into a secure competitive advantage.

    *Gartner, Market Guide for Digital Sovereignty Solutions (ID G00818332), Dennis Smith, Rene Buest, Alessandro Galimberti, 5 May 2025 **Gartner, Forecast Analysis: AI-Optimized IaaS (ID G00821602), Hardeep Singh, Colleen Graham, 17 December 2024 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

    Artificial Intelligence cybersecurity data security Nvidia Trend Micro
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